ATC AI
Contains
- A program that helps minimize air crashes by using Machine Learning to control air traffic.
- A gym environment for ATC simulation
Implementing
env.render()is not implemented, running it will raiseNotImplementedError.env.reset()opens the GUI.env.fpscontains the fps to run the game at. You can set it using:env.fps = 60
Installation
For the latest installation (may be unstable)
git clone https://github.com/vivek3141/atc-ai
pip install -e .
Install stable release by
pip install atc-gym
Creating The Environment
The environment can be created by doing the following:
import gym
import atc_gym
env = gym.make("atc-v0")
Environments
atc-v0Returns a NxN RGB image in the form of a numpy array for the observationsatc-tiled-v0Returns a NxN matrix for the observations.
N is undecided until implementation
1 maintainer
Metadata
1 maintainer
Release files for atc-gym 0.2
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| Tags | Python 3 |
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